Global AI-Powered Pathology 麻豆原创 Research Report 2024

Publication ID:

PB512240209

Publication Date:

December 11, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Pharmaceutical Manufacturing [2]

Healthcare [3]

Pharma & Healthcare [4]

Description:

The global market for AI-Powered Pathology was valued at US$ 184 million in the year 2023 and is projected to reach a revised size of US$ 382 million by 2030, growing at a CAGR of 11.7% during the forecast period.
AI-Powered Pathology uses AI algorithms to automate the analysis and diagnosis of pathological sections, helping pathologists identify disease characteristics more quickly and accurately. The development of this field has benefited from the rapid development of AI technologies such as computer vision, natural language processing, and deep learning.
North American market for AI-Powered Pathology is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for AI-Powered Pathology is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for AI-Powered Pathology in Hospital is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of AI-Powered Pathology include Indica Labs, Aignostics, Deep Bio, Mindpeak, Paige AI, DoMore Diagnostics, Visiopharm, Sonrai Analytics, Stratipath, ArteraAI, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI-Powered Pathology, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI-Powered Pathology.
The AI-Powered Pathology market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI-Powered Pathology market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI-Powered Pathology companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
Indica Labs
Aignostics
Deep Bio
Mindpeak
Paige AI
DoMore Diagnostics
Visiopharm
Sonrai Analytics
Stratipath
ArteraAI
PathAI
Proscia
Aiforia
Hologic
Dipath
Segment by Type
Automated Image Analysis
Disease Classification
Predictive Modeling
Other
Segment by Application
Hospital
Diagnostic Centers
Laboratories & Research Institutes
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI-Powered Pathology company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global AI-Powered Pathology 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Automated Image Analysis
1.2.3 Disease Classification
1.2.4 Predictive Modeling
1.2.5 Other
1.3 麻豆原创 by Application
1.3.1 Global AI-Powered Pathology 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Hospital
1.3.3 Diagnostic Centers
1.3.4 Laboratories & Research Institutes
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI-Powered Pathology 麻豆原创 Perspective (2019-2030)
2.2 Global AI-Powered Pathology Growth Trends by Region
2.2.1 Global AI-Powered Pathology 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI-Powered Pathology Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 AI-Powered Pathology Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 AI-Powered Pathology 麻豆原创 Dynamics
2.3.1 AI-Powered Pathology Industry Trends
2.3.2 AI-Powered Pathology 麻豆原创 Drivers
2.3.3 AI-Powered Pathology 麻豆原创 Challenges
2.3.4 AI-Powered Pathology 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI-Powered Pathology Players by Revenue
3.1.1 Global Top AI-Powered Pathology Players by Revenue (2019-2024)
3.1.2 Global AI-Powered Pathology Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global AI-Powered Pathology 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI-Powered Pathology Revenue
3.4 Global AI-Powered Pathology 麻豆原创 Concentration Ratio
3.4.1 Global AI-Powered Pathology 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI-Powered Pathology Revenue in 2023
3.5 Global Key Players of AI-Powered Pathology Head office and Area Served
3.6 Global Key Players of AI-Powered Pathology, Product and Application
3.7 Global Key Players of AI-Powered Pathology, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI-Powered Pathology Breakdown Data by Type
4.1 Global AI-Powered Pathology Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global AI-Powered Pathology Forecasted 麻豆原创 Size by Type (2025-2030)
5 AI-Powered Pathology Breakdown Data by Application
5.1 Global AI-Powered Pathology Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global AI-Powered Pathology Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America AI-Powered Pathology 麻豆原创 Size (2019-2030)
6.2 North America AI-Powered Pathology 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI-Powered Pathology 麻豆原创 Size by Country (2019-2024)
6.4 North America AI-Powered Pathology 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI-Powered Pathology 麻豆原创 Size (2019-2030)
7.2 Europe AI-Powered Pathology 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI-Powered Pathology 麻豆原创 Size by Country (2019-2024)
7.4 Europe AI-Powered Pathology 麻豆原创 Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI-Powered Pathology 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific AI-Powered Pathology 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI-Powered Pathology 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific AI-Powered Pathology 麻豆原创 Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI-Powered Pathology 麻豆原创 Size (2019-2030)
9.2 Latin America AI-Powered Pathology 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI-Powered Pathology 麻豆原创 Size by Country (2019-2024)
9.4 Latin America AI-Powered Pathology 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI-Powered Pathology 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa AI-Powered Pathology 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI-Powered Pathology 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa AI-Powered Pathology 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Indica Labs
11.1.1 Indica Labs Company Details
11.1.2 Indica Labs Business Overview
11.1.3 Indica Labs AI-Powered Pathology Introduction
11.1.4 Indica Labs Revenue in AI-Powered Pathology Business (2019-2024)
11.1.5 Indica Labs Recent Development
11.2 Aignostics
11.2.1 Aignostics Company Details
11.2.2 Aignostics Business Overview
11.2.3 Aignostics AI-Powered Pathology Introduction
11.2.4 Aignostics Revenue in AI-Powered Pathology Business (2019-2024)
11.2.5 Aignostics Recent Development
11.3 Deep Bio
11.3.1 Deep Bio Company Details
11.3.2 Deep Bio Business Overview
11.3.3 Deep Bio AI-Powered Pathology Introduction
11.3.4 Deep Bio Revenue in AI-Powered Pathology Business (2019-2024)
11.3.5 Deep Bio Recent Development
11.4 Mindpeak
11.4.1 Mindpeak Company Details
11.4.2 Mindpeak Business Overview
11.4.3 Mindpeak AI-Powered Pathology Introduction
11.4.4 Mindpeak Revenue in AI-Powered Pathology Business (2019-2024)
11.4.5 Mindpeak Recent Development
11.5 Paige AI
11.5.1 Paige AI Company Details
11.5.2 Paige AI Business Overview
11.5.3 Paige AI AI-Powered Pathology Introduction
11.5.4 Paige AI Revenue in AI-Powered Pathology Business (2019-2024)
11.5.5 Paige AI Recent Development
11.6 DoMore Diagnostics
11.6.1 DoMore Diagnostics Company Details
11.6.2 DoMore Diagnostics Business Overview
11.6.3 DoMore Diagnostics AI-Powered Pathology Introduction
11.6.4 DoMore Diagnostics Revenue in AI-Powered Pathology Business (2019-2024)
11.6.5 DoMore Diagnostics Recent Development
11.7 Visiopharm
11.7.1 Visiopharm Company Details
11.7.2 Visiopharm Business Overview
11.7.3 Visiopharm AI-Powered Pathology Introduction
11.7.4 Visiopharm Revenue in AI-Powered Pathology Business (2019-2024)
11.7.5 Visiopharm Recent Development
11.8 Sonrai Analytics
11.8.1 Sonrai Analytics Company Details
11.8.2 Sonrai Analytics Business Overview
11.8.3 Sonrai Analytics AI-Powered Pathology Introduction
11.8.4 Sonrai Analytics Revenue in AI-Powered Pathology Business (2019-2024)
11.8.5 Sonrai Analytics Recent Development
11.9 Stratipath
11.9.1 Stratipath Company Details
11.9.2 Stratipath Business Overview
11.9.3 Stratipath AI-Powered Pathology Introduction
11.9.4 Stratipath Revenue in AI-Powered Pathology Business (2019-2024)
11.9.5 Stratipath Recent Development
11.10 ArteraAI
11.10.1 ArteraAI Company Details
11.10.2 ArteraAI Business Overview
11.10.3 ArteraAI AI-Powered Pathology Introduction
11.10.4 ArteraAI Revenue in AI-Powered Pathology Business (2019-2024)
11.10.5 ArteraAI Recent Development
11.11 PathAI
11.11.1 PathAI Company Details
11.11.2 PathAI Business Overview
11.11.3 PathAI AI-Powered Pathology Introduction
11.11.4 PathAI Revenue in AI-Powered Pathology Business (2019-2024)
11.11.5 PathAI Recent Development
11.12 Proscia
11.12.1 Proscia Company Details
11.12.2 Proscia Business Overview
11.12.3 Proscia AI-Powered Pathology Introduction
11.12.4 Proscia Revenue in AI-Powered Pathology Business (2019-2024)
11.12.5 Proscia Recent Development
11.13 Aiforia
11.13.1 Aiforia Company Details
11.13.2 Aiforia Business Overview
11.13.3 Aiforia AI-Powered Pathology Introduction
11.13.4 Aiforia Revenue in AI-Powered Pathology Business (2019-2024)
11.13.5 Aiforia Recent Development
11.14 Hologic
11.14.1 Hologic Company Details
11.14.2 Hologic Business Overview
11.14.3 Hologic AI-Powered Pathology Introduction
11.14.4 Hologic Revenue in AI-Powered Pathology Business (2019-2024)
11.14.5 Hologic Recent Development
11.15 Dipath
11.15.1 Dipath Company Details
11.15.2 Dipath Business Overview
11.15.3 Dipath AI-Powered Pathology Introduction
11.15.4 Dipath Revenue in AI-Powered Pathology Business (2019-2024)
11.15.5 Dipath Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Indica Labs
Aignostics
Deep Bio
Mindpeak
Paige AI
DoMore Diagnostics
Visiopharm
Sonrai Analytics
Stratipath
ArteraAI
PathAI
Proscia
Aiforia
Hologic
Dipath

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